Flexible Skill Acquisition and Intuitive Robot
Tasking for Mobile Manipulation in the Real World is a
project funded by the European Commission within FP7. The goal of
First-MM is to build the basis for a new generation of autonomous
mobile manipulation robots that can flexibly be instructed to
perform complex manipulation and transportation tasks. The project
will develop a novel robot programming environment that allows
even non-expert users to specify complex manipulation tasks in
real-world environments. In addition to a task specification
language, the environment includes concepts for probabilistic
inference and for learning manipulation skills from demonstration
and from experience. The project will build upon and extend recent
results in robot programming, navigation, manipulation,
perception, learning by instruction, and statistical relational
learning to develop advanced technology for mobile manipulation
robots that can flexibly be instructed even by non-expert users to
perform challenging manipulation tasks in real-world environments.
designed to autonomously navigate in urban environments outdoors
as well as in shopping malls and shops to provide various services
to users including guidance, delivery, and transportation.

The First-MM project is funded by the European Community's Seventh
Framework Programme (FP7/2007-2013) under grant agreement no
248258.